Referenced Items are not available for this document.
Open Access
This paper presents amethod to design a cost-optimal nonredundant sensor network to observe all variables in a general nonlinear process. Arnixed integer linear programming model was used to minimize the cost with data classification to check the observability of variables. This work is a starting point for designing sensor networks for general nonlinear processes based on various criteria, such as reliability and accuracy.
Published in:
Tsinghua Science and Technology
(Volume:8
,
Issue:
6
)
Date of Publication: Dec. 2003
- Page(s):
- 738 - 743
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 17 January 2012
- Issue Date :
- Dec. 2003
- Sponsored by :
- Tsinghua University Press (TUP)
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